Disputed sentence suggestion towards credibility-oriented web search

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Abstract

We propose a novel type of query suggestion to support credibility-oriented Web search. When users issue queries to search for Web pages, our system collects disputed sentences about queries from the Web. Then, the system measures how typical and relevant each of the collected disputed sentences are to the given queries. Finally, the system suggests some of the most typical and relevant disputed sentences to the users. Conventional query suggestion techniques focus only on making it easy for users to search for Web pages matching their intent. Therefore, when users search for Web pages to check the credibility of specific opinions or statements, queries suggested by conventional techniques are not always useful in searching for evidence for credibility judgments. In addition, if users are not careful about the credibility of information in the Web search process, it is difficult to be aware of the existence of suspicious Web information through conventional query suggestions. Our disputed sentence suggestion enhances users' awareness of suspicious statements so that they can search for Web pages with careful attention to them. © 2012 Springer-Verlag Berlin Heidelberg.

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APA

Yamamoto, Y. (2012). Disputed sentence suggestion towards credibility-oriented web search. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7235 LNCS, pp. 34–45). https://doi.org/10.1007/978-3-642-29253-8_4

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